PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?university ?universityLabel ?studentCount WHERE {
  ?university wdt:P31 wd:Q3918 ; wdt:P2196 ?studentCount .
  FILTER ( ?studentCount > 200000 ) OPTIONAL {
    ?university rdfs:label ?universityLabel FILTER ( lang( ?universityLabel ) = "en" )
  }
}

Got 7 rows and 3 columns:
| university                                                 | universityLabel                                 | studentCount          |
| ---------------------------------------------------------- | ----------------------------------------------- | --------------------- |
| National Open University of Nigeria, Lafia (wd:Q131290725) | National Open University of Nigeria, Lafia (en) | 500000 (xsd:decimal)  |
| University of Phoenix (wd:Q1889100)                        | University of Phoenix (en)                      | 420000 (xsd:decimal)  |
| Cairo University (wd:Q194445)                              | Cairo University (en)                           | 207853 (xsd:decimal)  |
| National Autonomous University of Mexico (wd:Q222738)      | National Autonomous University of Mexico (en)   | 360883 (xsd:decimal)  |
| Ain Shams University (wd:Q2723670)                         | Ain Shams University (en)                       | 220000 (xsd:decimal)  |
| Allama Iqbal Open University (wd:Q3694529)                 | Allama Iqbal Open University (en)               | 1326266 (xsd:decimal) |
| Universitas Terbuka (wd:Q7894421)                          | Universitas Terbuka (en)                        | 525360 (xsd:decimal)  |

The universities with more than 200,000 students are: National Open University of Nigeria, Lafia, University of Phoenix, Cairo University, National Autonomous University of Mexico, Ain Shams University, Allama Iqbal Open University, and Universitas Terbuka.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at http://amur:7001

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Which universities have more than 200000 students?

[Tool]
Top 10 entity alternatives:
1. university, also known as uni, universities (wd:Q3918): academic institution for further education
2. University, also known as Suitcase City, University, FL (wd:Q2463874): human settlement in Hillsborough County, Florida, USA
3. medieval university, also known as mediaeval university, university (wd:Q1143413): corporation organized during the High Middle Ages
4. University, also known as University, Orange County, University, FL, University, Florida (wd:Q7894478): Orange County, Florida, USA
5. University, also known as University CDP, University Census Designated Place, University, Mississippi, University, MS (wd:Q3612349): census-designated place in Mississippi, United States
6. Expo Park/USC, also known as University (wd:Q1953496): Los Angeles Metro station
7. University Avenue, also known as University, University Ave (wd:Q3551335): street in Toronto, Ontario
8. Universidad, also known as Universidad station, University (wd:Q25442975): subway station in San Juan, Puerto Rico
9. University (wd:Q7894493): constituency of the Central and Western District Council of Hong Kong
10. Hochschule, also known as technical university, university (wd:Q21028957): German term for "higher schooling", i.e. institutions of tertiar... which may or may not include vocational or professional schools

[Tool]
Top 10 property alternatives:
1. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as wdt/p): equivalent class in other ontologies (use property URI), exact match, URL
2. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
3. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
4. Australian Educational Vocabulary ID, also known as AEV ID, AEV identifier, Australian Educational Vocabulary identifier, Schools Online Thesaurus ID, Schools Online Thesaurus identifier (wd:P7033 as wdt/wdtn/p): ID for curriculum term in one of the controlled vocabularies at Australian education vocabularies
5. GeoNames feature code, also known as feature class, feature code (wd:P2452 as wdt/wdtn/p): identifier for feature classes in GeoNames &  NGA GNS
6. Australian Thesaurus of Education Descriptors ID, also known as ATED ID (wd:P9497 as wdt/p): identifier for a descriptor in the Australian Thesaurus of Education Descriptors
7. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
8. HDS ID, also known as DHS, DSS, HDS identifier, Historical Dictionary of Switzerland, HLS (wd:P902 as wdt/p): identifier in HDS/HLS/DHS/DSS: Historical Dictionary of Switzerland (Q642074), a national encyclopedia
9. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as wdt/p): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
10. OpenStreetMap tag or key, also known as tag, OSM wiki tag or key, OpenStreetMap relation role, OSM tag or key, OSM tag (wd:P1282 as wdt/p): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values

No other items found

[Tool]
Top 10 property alternatives:
1. equivalent class, also known as schema.org type, same kind of thing, same grouping, same class, external class (wd:P1709 as wdt/p): equivalent class in other ontologies (use property URI), exact match, URL
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
3. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
4. uses, also known as uses trope, used, using, wielded, wields (wd:P2283 as wdt/p): item or concept used by the subject or in the operation (see also instrument [P1303] and armament [P520])
5. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
6. HDS ID, also known as DHS, DSS, HDS identifier, Historical Dictionary of Switzerland, HLS (wd:P902 as wdt/p): identifier in HDS/HLS/DHS/DSS: Historical Dictionary of Switzerland (Q642074), a national encyclopedia
7. OpenStreetMap tag or key, also known as tag, OSM wiki tag or key, OpenStreetMap relation role, OSM tag or key, OSM tag (wd:P1282 as wdt/p): OpenStreetMap tagging schema (a Key:key, Tag:key=value, Relation:type, or Role:role) for classes, properties, and values
8. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
9. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
10. model item, also known as specimen, sample, featured item, example item, best example (wd:P5869 as wdt/p): defines which item is a best practice example of modelling a sub...lue of this property, usage instructions at Wikidata:Model items

No other items found

[Tool]
Top 10 property alternatives:
1. count of students, also known as count of pupils, count of students, enrollment, number of pupils, number of pupils or students (wd:P2196 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): number of pupils or students of any type in an educational organ...evious years normal rank (not deprecated rank). Don't overwrite.
2. student, also known as teacher to, teacher of, had student, students, pupils (wd:P802 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): notable student(s) of the subject individual, significant person
3. number of out-of-school children (wd:P2573 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): number of out-of-school children reported for a place
4. number of teachers, also known as faculty count (wd:P10610 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): number of teachers at an educational facility
5. school class, also known as class, cohort, grade, school cohort, stage (wd:P7174 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): (qualifier) class of a given year/time period to which the person belonged in an educational institution
6. number of children, also known as children, children (number), how many children, issue, kids (wd:P1971 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): number of children of the person, animal, or character
7. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): educational institution attended by subject, affiliation
8. student retention rate (wd:P11698 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): proportion of first-year students at the educational institution who return for their second year
9. number of participants, also known as number of competitors, number of teams, participant count, participants, qty participants (wd:P1132 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): number of participants of an event, e.g. people or groups of people that take part in the event (NO units), quantity
10. educational stage, also known as student classification (wd:P7374 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): educational stage of a specific school; qualifier of "educated at" (P69): the education stage of someone's attendance of school

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Tool]
Got 7 rows and 3 columns:
| university                                                 | universityLabel                                 | studentCount          |
| ---------------------------------------------------------- | ----------------------------------------------- | --------------------- |
| National Open University of Nigeria, Lafia (wd:Q131290725) | National Open University of Nigeria, Lafia (en) | 500000 (xsd:decimal)  |
| University of Phoenix (wd:Q1889100)                        | University of Phoenix (en)                      | 420000 (xsd:decimal)  |
| Cairo University (wd:Q194445)                              | Cairo University (en)                           | 207853 (xsd:decimal)  |
| National Autonomous University of Mexico (wd:Q222738)      | National Autonomous University of Mexico (en)   | 360883 (xsd:decimal)  |
| Ain Shams University (wd:Q2723670)                         | Ain Shams University (en)                       | 220000 (xsd:decimal)  |
| Allama Iqbal Open University (wd:Q3694529)                 | Allama Iqbal Open University (en)               | 1326266 (xsd:decimal) |
| Universitas Terbuka (wd:Q7894421)                          | Universitas Terbuka (en)                        | 525360 (xsd:decimal)  |

[Assistant] The universities with more than 200,000 students are: National Open University of Nigeria, Lafia, University of Phoenix, Cairo University, National Autonomous University of Mexico, Ain Shams University, Allama Iqbal Open University, and Universitas Terbuka.

[Tool] Stopped generation process


I was unable to find a way to query for the number of public holidays specifically for the state of Bavaria in Wikidata. The properties I found to link places and holidays did not yield results for Bavaria.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at http://amur:7001

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] How many public holidays does the state Bavaria have in a year?

[Tool]
Top 10 entity alternatives:
1. Bavaria, also known as Bayern, Free State of Bavaria, Freistaat Bayern, Freistoot Bayern (wd:Q980): federated state in the south of Germany
2. Kingdom of Bavaria, also known as Bavaria, Kinereich Baiern, Kinereich Bayern, Königreich Baiern, Königreich Bayern (wd:Q154195): kingdom in Central Europe between 1806 and 1918, from January 1871 part of the German Empire
3. Electorate of Bavaria, also known as Bavaria (wd:Q256961): state in the Holy Roman Empire
4. 301 Bavaria, also known as (301) Bavaria, Bavaria (wd:Q150590): main-belt asteroid
5. Bavaria, also known as Bavaria statue (wd:Q707669): Statue of Bavaria in Munich, Germany
6. Bavaria (wd:Q874953): former train on the Trans-Europ-Express connection Zurich-Munich
7. Bavaria, also known as Bavaria, Kansas, Bavaria, KS (wd:Q4873636): unincorporated community in Kansas, USA
8. Bavaria Brewery, also known as Bavaria S.A., Bavaria (wd:Q2946947): Colombian brewery company
9. Bavaria Fluggesellschaft, also known as Bavaria (wd:Q811995): former German airline
10. Bavaria (wd:Q117323380): female figure symbolising Bavaria

[Tool]
Top 10 property alternatives:
1. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832 as wdt/p): official public holiday that occurs in this place in its honor, usually a non-working day, significant event
2. located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt/p): time zone for this item
3. inception, also known as initial release date, founded in, founded on, founded on date, founding date (wd:P571 as wdt/p): time when an entity begins to exist; for date of official opening use P1619, start time
4. GND ID, also known as Deutschen Nationalbibliothek ID, Universal Authority File, Integrated Authority File, IndividualisedGnd, GND-IDN (wd:P227 as wdt/wdtn/p): identifier from an international authority file of names, subjects, and organizations
5. anthem, also known as national anthem, team anthem, official song, official hymn, club anthem (wd:P85 as wdt/p): subject's official anthem
6. official language, also known as language spoken, spoken in, speaking, language official (wd:P37 as wdt/p): language designated as official by this item, language used
7. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
8. located in the administrative territorial entity, also known as is in the settlement of, is in the voivodeship of, is in the shire of, is in the state of, is in the territory of (wd:P131 as wdt/p): the item is located on the territory of the following administra...if the item falls only partially into the administrative entity., location, part of
9. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
10. basic form of government, also known as form of government, government, type of government (wd:P122 as wdt/p): subject's government

No other items found

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. public holiday, also known as legal holiday, national holiday, state holiday, statutory holiday (wd:Q1197685): holiday generally established by law, usually a non-working day for most people
2. public holiday, also known as bank holiday, legal holiday, national holiday (wd:P832): official public holiday that occurs in this place in its honor, usually a non-working day
3. public holiday (wd:L1403245-S1)
4. public holiday peace (wd:Q19374081): noise restrictions on public holidays
5. March Public Holiday, also known as Adelaide Cup Day (wd:Q111646483): public holiday in South Australia
6. public holiday in Japan (wd:Q1195354): holiday designated by law in Japan
7. public holidays in Slovakia, also known as public holidays of Slovakia, Slovak public holidays (wd:Q1401559)
8. public holidays in the Philippines, also known as public holidays (Philippines) (wd:Q838447): overview of public holidays in the Philippines
9. public holidays in the GDR, also known as public holidays (East Germany), public holidays (GDR), public holidays in East Germany (wd:Q897143): overview of public holidays in the GDR
10. public holiday in Tunisia (wd:Q3092938): Wikimedia list article

[Tool]
Top 10 property alternatives:
1. Wikidata property, also known as main property, property for this item, property, has property (wd:P1687 as wdt/p): main Wikidata property for this item
2. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
3. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
4. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
5. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
6. Wolfram Language entity code, also known as WL entity code, Wolfram entity code, WL entity (wd:P4839 as wdt/p): input form for an entity in Wolfram Language
7. different from, also known as not to be confused with, to be distinguished from, similar to, see also, rejected match (wd:P1889 as wdt/p): item that is different from another item, with which it may be confused
8. Encyclopedia of Korean Culture ID, also known as encykorea ID (wd:P9475 as wdt/p): identifier for an article in the Encyclopedia of Korean Culture
9. Australian Educational Vocabulary ID, also known as AEV ID, AEV identifier, Australian Educational Vocabulary identifier, Schools Online Thesaurus ID, Schools Online Thesaurus identifier (wd:P7033 as wdt/wdtn/p): ID for curriculum term in one of the controlled vocabularies at Australian education vocabularies
10. IPTC NewsCode, also known as NewsCode (wd:P5429 as wdt/wdtn/p): NewsCode for an item, as defined by the International Press Telecommunications Council (IPTC)

No other items found

[Tool]
Top 10 property alternatives:
1. valid in place, also known as applies to country, applies to location, applies to place, country, true in (wd:P3005 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): place where a statement is valid, applies to part
2. applies to jurisdiction, also known as belongs to jurisdiction, applies to territorial jurisdiction, applies to region, applies to place, applies to geographic place (wd:P1001 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): the item (institution, law, public office, public register...) o...a territorial jurisdiction: a country, state, municipality, ...), significant place, characteristic of, operating area
3. operating area, also known as province served, serves jurisdiction, serves geographic region, serves geographic area, serves area (wd:P2541 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): geographic area or jurisdiction an organisation or industry operates in, serves, or has responsibility for, location
4. set in environment, also known as set in location, takes place in, setting location, playing in, narrative set in (wd:P8411 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): environment (geographic feature, building type, etc.) the narrative work is set in, significant place, depicts
5. narrative location, also known as set in location, set in, setting, setting location, setting of work (wd:P840 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): the narrative of the work is set in this location, significant place, depicts
6. location of creation, also known as manufactured in, manufacturing location, mint, minted at, photographed at (wd:P1071 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): place where the item was conceived or made; where applicable, location of final assembly, significant place
7. directions, also known as locality or place (wd:P2795 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): describe how to find the subject - directions, objects along way, comments
8. location of discovery, also known as found in, location of discovered object, place of discovery, site of discovery, source (wd:P189 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): where the item was located when discovered, significant place
9. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
10. location map (wd:P1943 as psv/pr/pqv/wdtn/p/psn/ps/pq/prn/prv/pqn/wdt): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image

[Tool] Got no rows and 3 columns

[Tool]
Top 10 entity alternatives:
1. public holiday in Japan (wd:Q1195354): holiday designated by law in Japan
2. public holiday in Tunisia (wd:Q3092938): Wikimedia list article
3. public holiday in South Korea, also known as public holidays in South Korea (wd:Q488051): holiday designated by law in the Republic of Korea (South Korea)
4. public holidays in Germany (wd:Q649352): Wikimedia list article
5. public holidays in Slovakia, also known as public holidays of Slovakia, Slovak public holidays (wd:Q1401559)
6. public holidays in Kazakhstan (wd:Q4376344)
7. public holidays in Quebec (wd:Q4376347)
8. Public holidays in Palestine (wd:Q22947520)
9. public holidays in Somaliland (wd:Q7257839)
10. Public holidays in Tatarstan (wd:Q16687859)

[Tool]
Top 10 property alternatives:
1. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity

No other items found

[Tool]
Got 1,312 rows and 3 columns, showing the first 10 rows below:
| subject                                | property              | object                       |
| -------------------------------------- | --------------------- | ---------------------------- |
| Christmas (wd:Q19809)                  | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Eid al-Adha (wd:Q514400)               | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Eid al-Fitr (wd:Q464458)               | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| International Workers' Day (wd:Q47499) | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Good Friday (wd:Q40317)                | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Mother's Day (wd:Q47502)               | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Palm Sunday (wd:Q42236)                | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Father's Day (wd:Q134847)              | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Hanukkah (wd:Q130881)                  | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| Christmas Eve (wd:Q106010)             | instance of (wdt:P31) | public holiday (wd:Q1197685) |
| ...                                    | ...                   | ...                          |

[Tool] Got no rows and 1 columns

[Assistant]
I have tried to find the number of public holidays in Bavaria by searching for entities related to Bavaria and public holidays and looking for properties that link them. I found the entity for Bavaria (wd:Q980) and the entity for public holiday (wd:Q1197685). I also found properties like `public holiday` (wd:P832) and `valid in place` (wd:P3005).

However, I was unable to find a direct link in Wikidata that lists the public holidays specifically for the state of Bavaria using the available properties. My attempts to query for public holidays linked to Bavaria using properties like `wd:P832` or `wd:P3005` did not return any results. It appears that this specific information might not be structured in a way that allows for a direct count through a SPARQL query on Wikidata.

Therefore, I am unable to provide a SPARQL query to answer how many public holidays the state Bavaria has in a year.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
ASK {
  ?entity wdt:P131 wd:Q39 .
  ?entity wdt:P625 ?location .
  BIND( xsd:decimal ( REPLACE( STR( ?location ) , "POINT\\(([^ ]*) ([^ ]*)\\)" , "$2" ) ) AS ?latitude ) FILTER ( ?latitude > 47.8 )
}

Yes, there is a place in Switzerland north of the point (8.57 47.8).

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Does Switzerland have a place north of the Point (8.57 47.8)?

[Tool]
Top 10 entity alternatives:
1. Switzerland, also known as Confoederatio Helvetica, Swiss, Swiss Confederation (wd:Q39): country in Central Europe
2. Old Swiss Confederacy, also known as Swiss Confederation, Switzerland (wd:Q435583): confederation of cantons (1291-1798)
3. Old Swiss Confederacy, also known as Swiss Confederation, Switzerland (wd:Q435583): confederation of cantons (1291-1798)
4. Switzerland at the 1900 Summer Olympics, also known as Switzerland (wd:Q141744): sporting event delegation
5. federation of eight cantons, also known as Confederacy of eight cantons, Switzerland, Swiss Confederation, federation of 8 cantons, Old Swiss Confederacy (wd:Q340787)
6. Federation of thirteen cantons, also known as Federation of 13 cantons, Swiss Confederacy, Swiss Confederation, Switzerland (wd:Q351537)
7. Switzerland, also known as Switzerland, SC (wd:Q2373348): community in South Carolina, USA
8. Switzerland (wd:Q80282): community in Florida, United States
9. Switzerland in the Eurovision Song Contest 2006, also known as Switzerland (wd:Q7659174)
10. Switzerland (wd:Q420049): album by rock band Electric Six

[Tool]
Top 10 property alternatives:
1. coordinate location, also known as point on a map, gps coordinates, gps location, latitude, location (wd:P625 as wdt/p): geocoordinates of the subject. For Earth, please note that only WGS84 coordinating system is supported at the moment
2. detail map, also known as map (wd:P1621 as wdt/p): map containing details about the entire location, locator map image
3. geoshape, also known as Commons map data, geographic data, geographic shape, .map, map data (wd:P3896 as wdt/p): geographic data from Wikimedia Commons
4. locator map image, also known as locator map, map image, map (wd:P242 as wdt/p): geographic map image which highlights the location of the subject within some larger entity, image
5. location map (wd:P1943 as wdt/p): blank geographic map image suitable for overlaying coordinate points, as defined at c:Category:Location maps, image
6. official website, also known as site (official), home page, site official, URL, URL (official) (wd:P856 as wdt/p): URL of the official page of an item (current or former). Usage: ...but see the "Hijacked or dead websites" section of the Talk page, URL
7. country, also known as sovereign state, state, land, host country (wd:P17 as wdt/p): sovereign state that this item is in (not to be used for human beings), located in the administrative territorial entity
8. located in/on physical feature, also known as located on the terrain feature, location (terrain feature), loc (terr), on, on geographical feature (wd:P706 as wdt/p): located on the specified (geo)physical feature. Should not be us...nly political/administrative (P131) or a mountain range (P4552)., location, part of
9. area, also known as total area, surface area, surface, size, resolution (wd:P2046 as wdt/p): area occupied by an object
10. located in time zone, also known as TZ, time zone, timezone (wd:P421 as wdt/p): time zone for this item

No other items found

[Tool]
Got 1 row and 1 column:
| location                                   |
| ------------------------------------------ |
| POINT(8.231973 46.798562) (geo:wktLiteral) |

[Tool]
Got 149 rows and 3 columns, showing the first 10 rows below:
| subject                           | property                                                    | object               |
| --------------------------------- | ----------------------------------------------------------- | -------------------- |
| Canton of the Grisons (wd:Q11925) | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| Ticino (wd:Q12724)                | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| Valais (wd:Q834)                  | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| canton Vaud (wd:Q12771)           | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| Bern (wd:Q11911)                  | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| Aargau (wd:Q11972)                | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| Schwyz (wd:Q12433)                | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| Jura (wd:Q12755)                  | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| Canton of Geneva (wd:Q11917)      | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| canton St. Gallen (wd:Q12746)     | located in the administrative territorial entity (wdt:P131) | Switzerland (wd:Q39) |
| ...                               | ...                                                         | ...                  |

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Tool] True

[Assistant] Yes, there is a place in Switzerland north of the point (8.57 47.8).

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?entrepreneur ?entrepreneurLabel ?netWorth WHERE {
  ?entrepreneur wdt:P106 wd:Q131524 .
  ?entrepreneur wdt:P2218 ?netWorth .
  ?entrepreneur rdfs:label ?entrepreneurLabel
  FILTER ( lang( ?entrepreneurLabel ) = "en" ) .
}
ORDER BY DESC ( ?netWorth )
LIMIT 10

Got 10 rows and 3 columns:
| entrepreneur                    | entrepreneurLabel     | netWorth                   |
| ------------------------------- | --------------------- | -------------------------- |
| Elon Musk (wd:Q317521)          | Elon Musk (en)        | 270100000000 (xsd:decimal) |
| Bernard Arnault (wd:Q32055)     | Bernard Arnault (en)  | 207800000000 (xsd:decimal) |
| Jeff Bezos (wd:Q312556)         | Jeff Bezos (en)       | 204600000000 (xsd:decimal) |
| Bernard Arnault (wd:Q32055)     | Bernard Arnault (en)  | 143000000000 (xsd:decimal) |
| Bill Gates (wd:Q5284)           | Bill Gates (en)       | 89800000000 (xsd:decimal)  |
| Radovan Vítek (wd:Q23664043)    | Radovan Vítek (en)    | 86000000000 (xsd:decimal)  |
| Mukesh Ambani (wd:Q298547)      | Mukesh Ambani (en)    | 83600000000 (xsd:decimal)  |
| Warren Buffett (wd:Q47213)      | Warren Buffett (en)   | 82500000000 (xsd:decimal)  |
| Patrik Tkáč (wd:Q20120426)      | Patrik Tkáč (en)      | 80000000000 (xsd:decimal)  |
| Daniel Křetínský (wd:Q11774225) | Daniel Křetínský (en) | 78000000000 (xsd:decimal)  |

Elon Musk is the most wealthy entrepreneur.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who is the most wealthy entrepreneur?

[Tool]
Top 10 entity alternatives:
1. entrepreneur, also known as undertaking (wd:Q131524): person who owns and operates a business
2. Entrepreneur (wd:Q5380740): business magazine for entrepreneurs
3. The Entrepreneur, also known as Entrepreneur (wd:Q3204987): 2011 film by Giuliano Montaldo
4. Entrepreneur (wd:Q30598698): 1997 video game
5. Entrepreneur (wd:Q5380739): British Thoroughbred racehorse
6. Entrepreneur (wd:Q98669462): 2020 single by Pharrell Williams featuring Jay-Z
7. Entrepreneur, also known as Yrittäjä (wd:Q104145164): 2018 film directed by Virpi Suutari
8. Darren Lopes, also known as Entrepreneur (wd:Q112113075): entrepreneur, Entrepreneur
9. Adil Sami, also known as Entrepreneur (wd:Q111692090): Entrepreneur, entrepreneur
10. Alee Club Miss & Mr Teen India, also known as Entrepreneur (wd:Q113526755): entrepreneur

[Tool]
Top 10 property alternatives:
1. owner of, also known as owns, owns property, shareholder of (wd:P1830 as wdt/p): entities owned by the subject
2. field of work, also known as scientific discipline, scientific area, responsible for, research on, research fields (wd:P101 as wdt/p): specialization of a person or organization; see P106 for the occupation, interested in
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. item operated, also known as fleet, item used, operated, operates, operator of (wd:P121 as wdt/p): equipment, installation or service operated by the subject, uses
5. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
6. PSH ID, also known as Czech Technical Library ID, PSH, PSH identifier (wd:P1051 as wdt/p): identifier in the authority database of the Czech Technical Library
7. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
8. Freebase ID, also known as Freebase, MID, Freebase identifier, FID (wd:P646 as wdt/p): identifier for a page in the Freebase database. Format: "/m/0" f...r IDs starting with "/g/", use Google Knowledge Graph ID (P2671)
9. Commons category, also known as category on Wikimedia Commons, Wikimedia Commons category, Wikimedia Commons cat, Commons cat, commonscat (wd:P373 as wdt/p): name of the Wikimedia Commons category containing files related to this item (without the prefix "Category:")
10. partially coincident with, also known as intersecting with, has overlap with, has common parts with, has common members with, has common instances with (wd:P1382 as wdt/p): object that partially overlaps with the subject in its instances, parts, or members, different from

No other items found

[Tool]
Top 10 property alternatives:
1. net worth, also known as declared patrimony, estimated net worth, net wealth, net worth estimate, personal assets (wd:P2218 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): totality of wealth possessed by a person
2. net profit, also known as profit, net return, net income, clear profit, clear gain (wd:P2295 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): private entity profit after accounting for all costs
3. estimated value, also known as valuation, traded value, traded cap, price estimation, estimated worth (wd:P8340 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): estimated value of a house, company, patent, etc
4. total revenue, also known as turnover, sales, revenue, income, gross revenue (wd:P2139 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): income gained by an organization during a given time frame. Not to be confused with fiscal revenue
5. item of property constraint, also known as claim value, value, qid, property value, item qualifier (wd:P2305 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): qualifier to define a property constraint in combination with "property constraint" (P2302)
6. prize money, also known as money, purse, value (wd:P2121 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): amount in a specific currency
7. price, also known as cost, exchange rate, list price, MSRP, published price (wd:P2284 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): published price listed or paid for a product (use with unit of currency)
8. numeric value, also known as numerical value, value (wd:P1181 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): numerical value of a number, a mathematical constant, or a physical constant
9. total assets, also known as assets, balance sheet total (wd:P2403 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): value of assets held by a private or public entity
10. box office, also known as earnings (wd:P2142 as psn/ps/pr/pqv/prv/psv/wdt/p/pqn/pq/prn/wdtn): box office takings accumulated by a film, total revenue

[Tool]
Got 65,536 rows and 3 columns, showing the first 10 rows below:
| subject                                                           | property                            | object                    |
| ----------------------------------------------------------------- | ----------------------------------- | ------------------------- |
| Motorenfabrik Oberursel (wd:Q474908)                              | instance of (wdt:P31)               | entrepreneur (wd:Q131524) |
| Entrepreneurial Museum of Challenge and Innovation (wd:Q11440034) | main subject (wdt:P921)             | entrepreneur (wd:Q131524) |
| Donald Trump (wd:Q22686)                                          | occupation (wdt:P106)               | entrepreneur (wd:Q131524) |
| employer (wd:Q3053337)                                            | subclass of (wdt:P279)              | entrepreneur (wd:Q131524) |
| Nahia Urrutxua (wd:Q119635071)                                    | educated at (wdt:P69)               | entrepreneur (wd:Q131524) |
| wd:Q100396287                                                     | category combines topics (wdt:P971) | entrepreneur (wd:Q131524) |
| Heinz-Christian Strache (wd:Q44733)                               | employer (wdt:P108)                 | entrepreneur (wd:Q131524) |
| Nyakeru Tshisekedi Denise (wd:Q61855144)                          | position held (wdt:P39)             | entrepreneur (wd:Q131524) |
| Harry Luc (wd:Q131462158)                                         | award received (wdt:P166)           | entrepreneur (wd:Q131524) |
| Thomas Edison (wd:Q8743)                                          | field of work (wdt:P101)            | entrepreneur (wd:Q131524) |
| ...                                                               | ...                                 | ...                       |

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Assistant] I will try to find the most wealthy entrepreneur by querying for individuals who are entrepreneurs and have a net worth, and then order them by net worth. I will use `rdfs:label` to get the names of the entrepreneurs.

[Tool]
Got 10 rows and 3 columns:
| entrepreneur                    | entrepreneurLabel     | netWorth                   |
| ------------------------------- | --------------------- | -------------------------- |
| Elon Musk (wd:Q317521)          | Elon Musk (en)        | 270100000000 (xsd:decimal) |
| Bernard Arnault (wd:Q32055)     | Bernard Arnault (en)  | 207800000000 (xsd:decimal) |
| Jeff Bezos (wd:Q312556)         | Jeff Bezos (en)       | 204600000000 (xsd:decimal) |
| Bernard Arnault (wd:Q32055)     | Bernard Arnault (en)  | 143000000000 (xsd:decimal) |
| Bill Gates (wd:Q5284)           | Bill Gates (en)       | 89800000000 (xsd:decimal)  |
| Radovan Vítek (wd:Q23664043)    | Radovan Vítek (en)    | 86000000000 (xsd:decimal)  |
| Mukesh Ambani (wd:Q298547)      | Mukesh Ambani (en)    | 83600000000 (xsd:decimal)  |
| Warren Buffett (wd:Q47213)      | Warren Buffett (en)   | 82500000000 (xsd:decimal)  |
| Patrik Tkáč (wd:Q20120426)      | Patrik Tkáč (en)      | 80000000000 (xsd:decimal)  |
| Daniel Křetínský (wd:Q11774225) | Daniel Křetínský (en) | 78000000000 (xsd:decimal)  |

[Assistant] Elon Musk is the most wealthy entrepreneur according to the query results.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
ASK {
  wd:Q283 wdt:P462 wd:Q1396399
}

Yes, according to Wikidata, water is colorless.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Is water colorless?

[Assistant]
Okay, let's find out if water is colorless according to Wikidata.

First, I need to find the Wikidata entity for "water".

[Tool]
Top 10 entity alternatives:
1. water, also known as dihydrogen oxide, hydrogen hydroxide, dihydrogen monoxide, hydrogen oxide, oxidane (wd:Q283): chemical compound whose molecules are formed by two hydrogen atoms and one oxygen atom
2. water, also known as dihydridooxygen, pure water, oxidane, hydrogen oxide, hydrogen hydroxide (wd:Q283): chemical compound whose molecules are formed by two hydrogen atoms and one oxygen atom
3. ice, also known as crystalline water, frozen ice, frozen water, solid water, water (wd:Q23392): water frozen into the solid state
4. drinking water, also known as drinkable water, improved drinking water, potable water, water (wd:Q7892): water safe for consumption
5. Water, also known as Water (2005), Water (2005 movie) (wd:Q617395): 2005 film by Deepa Mehta
6. water (wd:Q2637515): classical element in philosophy and cosmology
7. Water (wd:Q123169436): 2023 single by Tyla
8. ☵, also known as water, U+2635, TRIGRAM FOR WATER, kan3, k’an (wd:Q2785811): trigram for water (U+2635): kan3, kǎn, k’an
9. liquid water, also known as water (wd:Q29053744): form of water
10. Water, also known as Water (Elitsa & Stoyan song) (wd:Q2735297): song by Elitsa Todorova and Stoyan Yankoulov

[Assistant] Now that I have the entity for water (wd:Q283), I will search for properties related to color for this entity.

[Tool]
Top 10 property alternatives:
1. color, also known as with the colour, with the color, pigment, of the colour, of the color (wd:P462 as wdt/p): color of subject
2. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
3. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
4. has characteristic, also known as has quality, inherent property, object has characteristic, parameter, quality (wd:P1552 as wdt/p): inherent or distinguishing quality or feature of the entity. Use a more specific property when possible
5. has use, also known as utility, used in, used for, used as, use (wd:P366 as wdt/p): main use of the subject (includes current and former usage)
6. subclass of, also known as rdfs:subClassOf, sort of, subcategory of, subgenre of, subtype of (wd:P279 as wdt/p): this item is a subclass (subset) of that item; ALL instances of ...stance of volcanic landform); Everest is an instance of mountain
7. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
8. topic's main category, also known as article's main category, category, category for this topic, catmain, has category (wd:P910 as wdt/p): main Wikimedia category
9. mass, also known as displacement, molecular mass, molecular weight, weight (wd:P2067 as wdt/p): mass (in colloquial usage also known as weight) of the item
10. name (image), also known as name as image, label image, label as image, image of name, image as label (wd:P7407 as wdt/p): name of something, when it's not fully supported by Unicode or contains characters that are not widely supported, icon

No other items found

[Assistant] The search results show "color" (wd:P462) as a relevant property. I will now check if water (wd:Q283) has a value for the property color (wd:P462).

[Tool] Got no rows and 3 columns

[Assistant]
The `list` call returned no results, meaning there is no direct statement in Wikidata that water (wd:Q283) has a value for the property color (wd:P462). This doesn't definitively prove water is colorless, but it suggests Wikidata doesn't explicitly state a color for water using this property.

Let's try searching for "colorless" as an entity to see if it exists and if it's linked to water in any way.

[Tool]
Top 10 entity alternatives:
1. colorless, also known as achromatic, clear, colourless, no color, no colour (wd:Q1396399): having no color, either by transparency or by lack of pigment
2. Colorless (wd:Q97376188): feature film
3. Colorless (wd:Q11193532): album by Shela
4. COLORLESS (wd:Q112153744): Music by Daichi Miura
5. colorless, also known as colourless, see-through, transparent (wd:Q32848124): optical phenomenon
6. SRY-box transcription factor 10, also known as transcription factor SOX-10, SRY (sex determining region Y)-box 10, SRY-box containing gene 10, sox10b, sox10 (wd:Q29833078): protein found in Danio rerio
7. colorless (wd:L47519)
8. colorless (wd:L47519-F1)
9. black-and-white, also known as black and white, black and white art, black-and-white media, B/W, B&W (wd:Q838368): monochrome form in visual arts
10. Colorless Shiner, also known as Notropis perpallidus (wd:Q2247046): species of fish

[Tool]
Got 1 row and 3 columns:
| subject         | property         | object                  |
| --------------- | ---------------- | ----------------------- |
| water (wd:Q283) | color (wdt:P462) | colorless (wd:Q1396399) |

[Assistant]
Based on the search results, Wikidata states that water (wd:Q283) has the color (wdt:P462) colorless (wd:Q1396399).

Here is the SPARQL query to confirm this:

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?label WHERE {
  wd:Q30 rdfs:label ?label .
  FILTER ( lang( ?label ) = 'tr' )
}

Got 1 row and 1 column:
| label                            |
| -------------------------------- |
| Amerika Birleşik Devletleri (tr) |

People from Turkey call the United States of America "Amerika Birleşik Devletleri".

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] How do people from Turkey call the official name of the united states of america?

[Tool]
Top 10 entity alternatives:
1. United States, also known as the U.S. of A, United States of America, the US of America, United States of North America, U. S. (wd:Q30): country primarily located in North America
2. Istadus Unidus the America, also known as United States of America (wd:Q29045433): Wikimedia permanent duplicate item
3. United States of America (wd:Q100270731): scholarly article
4. United States of America (wd:Q103971355): encyclopedic article; Grove Art Online
5. United States of America (wd:Q105870683): vocal track by Kikki Danielsson; 1980 studio recording
6. United States of America (wd:Q105870692): song written and composed by Donna Fargo, originally recorded by Donna Fargo and released in 1974
7. United States of America (wd:Q106315054): vocal track by Donna Fargo; 1974 studio recording
8. United States of America, also known as Star Trek USA, USA (wd:Q99281400): country of the United States of America as depicted in Star Trek
9. United States of America (wd:L350484-S1)
10. United States (of America) (wd:L399000-S1)

[Tool]
Top 10 property alternatives:
1. official name, also known as long title, name, official title, registered name, full title (wd:P1448 as wdt/p): official name of the subject in its official language(s), name
2. short name, also known as short title, shortname, abbreviation, shortened name, initialism (wd:P1813 as wdt/p): short name of a place, organisation, person, journal, wikidata property, etc. Used by some Wikipedia templates., name
3. named after, also known as toponym, namesake, named in honor of, named for, etymology (wd:P138 as wdt/p): entity or event that inspired the subject's name, or namesake (i...fier "applies to name" (P5168) can be used to indicate which one
4. native label, also known as official title, original label, original language label, original language name, original language title (wd:P1705 as wdt/p): label for the items in their official language  or their original language, name
5. OSM Name Suggestion Index ID, also known as name-suggestion-index ID, name-suggestion-index identifier, NSI ID, OSM Name Suggestion Index identifier, OSMnsi ID (wd:P8253 as wdt/p): identifier for a brand/operator in OpenStreetMap’s Name Suggestion Index
6. X (Twitter) username, also known as twitter.com/, X username, X handle, x.com/, X account (wd:P2002 as wdt/p): username on X (formerly Twitter); do not include the '@' symbol, website username or ID
7. Instagram username, also known as IG username, www.instagram.com, urinsta, ufinsta, Insta ID (wd:P2003 as wdt/p): item's username on Instagram, website username or ID
8. Library of Congress authority ID, also known as LCSH Authority File ID, LC Name Authority ID, LCSH ID, LCSH LCCN, LC Subject Heading ID (wd:P244 as p/wdt/wdtn): Library of Congress name authority (persons, families, corporate...lowed by 8-10 digits (see regex). For manifestations, use P1144]
9. Libraries Australia ID, also known as CNLKIN, NLA Kinetica Service identifier, NLA (Australia) identifier, NLA (Australia) ID, Libraries Australia identifier (wd:P409 as wdt/p): identifier issued by the National Library of Australia (see also...F component. Format: 1-12 digits, removing leading zero-padding.
10. YouTube handle, also known as https://www.youtube.com/@, YT handle, YT @, YouTube username, youtube.com/@ (wd:P11245 as wdt/p): unique identifier of a person, organization or channel on YouTube; do not include the "@" symbol, website username or ID

No other items found

[Tool]
Got 1 row and 1 column:
| officialName                      |
| --------------------------------- |
| the United States of America (en) |

[Tool] Got no rows and 1 columns

[Tool]
Got 1 row and 1 column:
| label                            |
| -------------------------------- |
| Amerika Birleşik Devletleri (tr) |

[Assistant]
The label for the United States of America (wd:Q30) in Turkish (tr) is "Amerika Birleşik Devletleri".

The SPARQL query used to find this is:
```sparql
SELECT ?label WHERE { wd:Q30 rdfs:label ?label . FILTER (lang(?label) = 'tr') }
```

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
SELECT ( COUNT( ?award ) AS ?count ) WHERE {
  wd:Q242643 wdt:P166 ?award .
  ?award wdt:P31 wd:Q194285 .
}

Got 1 row and 1 column:
| count       |
| ----------- |
| 1 (xsd:int) |

Naomi Novik won the Nebula Award 1 time.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] How often did Naomi Novik win the nebula award?

[Tool]
Top 10 entity alternatives:
1. Naomi Novik (wd:Q242643): science fiction writer, American writer, fantasy author, programmer, novelist, writer
2. Naomi (wd:Q2596433): Ruth's mother-in-law in the Book of Ruth
3. Naomi, also known as Trinity Starr, Trinity Fatu, Trinity, Nalgomi, Naomi Knight (wd:Q3119295): American professional wrestler, professional wrestler, celebrity, dancer, model
4. 6139 Naomi, also known as Naomi (wd:Q553669): asteroid
5. Naomi, also known as Naomi, PA, Naomi, Pennsylvania (wd:Q6964608): settlement in Pennsylvania, US
6. Naomi (wd:Q108444706): American television series
7. Novik (wd:Q1547078): 1911 Russian destroyer
8. Naomi, also known as Naomi (first name), Naomi (given name) (wd:Q18508449): female given name
9. Naomi (wd:Q6964620): novel by Junichiro Tanizaki
10. Naomi, also known as Florin Moldovan (wd:Q22957923): Romanian recording artist, songwriter and actress, songwriter, singer, actor

[Tool]
Top 10 entity alternatives:
1. Nebula Award (wd:Q194285): literature prize for science fiction and fantasy works from the United States
2. Xingyun Award, also known as Chinese Nebula Award, World Chinese Science Fiction Association (wd:Q10891657): Chinese literary award
3. Nebula Awards 22, also known as Nebula Award Showcase (wd:Q30078063): 1988 anthology edited by George Zebrowski
4. Nebula Awards Showcase, also known as Nebula Winners, Nebula Award Stories (wd:Q28419278): series of annual science fiction and fantasy anthologies
5. Nebula Anthologies, also known as Nebula Award anthologies (wd:Q81185197): anthologies of Nebula-winning short fiction, along with a select...nners-up, published roughly annually since the award's inception
6. Nebula Award Weekend (wd:Q130712827): science fiction convention
7. Nebula Awards Weekend (wd:Q6985281)
8. Nebula Awards 20 (wd:Q30078081): 1985 anthology edited by George Zebrowski
9. Nebula Awards 21 (wd:Q30078078): 1986 anthology edited by George Zebrowski
10. Nebula Awards 23 (wd:Q30078049): 1989 anthology edited by Michael Bishop

[Tool]
Top 10 property alternatives:
1. award received, also known as win, winner of, recognition title, received award, prize received (wd:P166 as wdt/p): award or recognition received by a person, organization or creative work
2. nominated for, also known as nominee for, shortlisted for, selected for award, selected for, nominee for award (wd:P1411 as wdt/p): award nomination received by a person, organisation or creative work (inspired from "award received" (Property:P166))
3. country of citizenship, also known as subject of (country), nation of citizenship, national of, nationality, nation (wd:P27 as wdt/p): the object is a country that recognizes the subject as its citizen, country
4. image, also known as still capture, still, screenshot, screen capture, portrait (wd:P18 as wdt/p): image of relevant illustration of the subject; if available, als...tor map, flag image, signature image, logo image, collage image)
5. described by source, also known as mentioned in, source of item, reviewed in, mentioned in news article, talked about in (wd:P1343 as wdt/p): work where this item is described, attested in
6. given name, also known as name, proper name, personal name, middle name, forename (wd:P735 as wdt/p): first name or another given name of this person; values used with the property should not link disambiguations nor family names, name
7. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
8. place of birth, also known as POB, location of birth, location born, born in, birthplace (wd:P19 as wdt/p): most specific known birth location of a person, animal or fictional character, location
9. date of birth, also known as year of birth, birthdate, DOB, born on, born (wd:P569 as wdt/p): date on which the subject was born, inception
10. educated at, also known as graduated from, graduate of, place of education, school attended, schooled at (wd:P69 as wdt/p): educational institution attended by subject, affiliation

No other items found

[Tool]
Got 1 row and 1 column:
| count       |
| ----------- |
| 1 (xsd:int) |

[Assistant] Naomi Novik won the Nebula Award 1 time.

[Tool] Stopped generation process


PREFIX wd: <http://www.wikidata.org/entity/>
PREFIX wdt: <http://www.wikidata.org/prop/direct/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?creator ?creatorLabel WHERE {
  wd:Q1211977 wdt:P170 ?creator .
  ?creator rdfs:label ?creatorLabel .
  FILTER ( lang( ?creatorLabel ) = "en" )
}

Got 2 rows and 2 columns:
| creator                      | creatorLabel        |
| ---------------------------- | ------------------- |
| Michael Jacobs (wd:Q3308269) | Michael Jacobs (en) |
| Bob Young (wd:Q4934478)      | Bob Young (en)      |

Michael Jacobs and Bob Young are the creators of the Dinosaurs tv show.

[System]
You are a question answering assistant. Your job is to generate a SPARQL query to answer a given user question.

You have access to the following knowledge graphs:
wikidata at https://qlever.cs.uni-freiburg.de/api/wikidata-sebastian

You can use the following SPARQL prefixes implicitly in all functions:
cc: <http://creativecommons.org/ns#
data: <https://www.wikidata.org/wiki/Special:EntityData/
dct: <http://purl.org/dc/terms/
geo: <http://www.opengis.net/ont/geosparql#
geof: <http://www.opengis.net/def/function/geosparql/
imdb: <https://www.imdb.com/
math: <http://www.w3.org/2005/xpath-functions/math#
ontolex: <http://www.w3.org/ns/lemon/ontolex#
owl: <http://www.w3.org/2002/07/owl#
p: <http://www.wikidata.org/prop/
pq: <http://www.wikidata.org/prop/qualifier/
pqn: <http://www.wikidata.org/prop/qualifier/value-normalized/
pqv: <http://www.wikidata.org/prop/qualifier/value/
pr: <http://www.wikidata.org/prop/reference/
prn: <http://www.wikidata.org/prop/reference/value-normalized/
prov: <http://www.w3.org/ns/prov#
prv: <http://www.wikidata.org/prop/reference/value/
ps: <http://www.wikidata.org/prop/statement/
psn: <http://www.wikidata.org/prop/statement/value-normalized/
psv: <http://www.wikidata.org/prop/statement/value/
qfn: <http://qlever.cs.uni-freiburg.de/function#
ql: <http://qlever.cs.uni-freiburg.de/builtin-functions/
rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs: <http://www.w3.org/2000/01/rdf-schema#
ref: <http://www.wikidata.org/reference/
s: <http://www.wikidata.org/entity/statement/
schema: <http://schema.org/
skos: <http://www.w3.org/2004/02/skos/core#
v: <http://www.wikidata.org/value/
wd: <http://www.wikidata.org/entity/
wdno: <http://www.wikidata.org/prop/novalue/
wdt: <http://www.wikidata.org/prop/direct/
wdtn: <http://www.wikidata.org/prop/direct-normalized/
wikibase: <http://wikiba.se/ontology#
xsd: <http://www.w3.org/2001/XMLSchema#
foaf: <http://xmlns.com/foaf/0.1/
dc: <http://purl.org/dc/elements/1.1/
gn: <http://www.geonames.org/ontology#
bd: <http://www.bigdata.com/rdf#
hint: <http://www.bigdata.com/queryHints#
qb: <http://purl.org/linked-data/cube#
void: <http://rdfs.org/ns/void#

You should follow a step-by-step approach to generate the SPARQL query:
1. Determine possible entities and properties implied by the user question.
2. Use the functions to search for entities and properties in the knowledge graphs. Where applicable, constrain the searches with already identified entities and properties.
3. Gradually build up the SPARQL query using the identified entities and properties. Start with simple queries and add more complexity as needed. Use the execute function to get feedback on intermediate queries. You can go back and forth between knowledge graph searches and SPARQL query executions to refine the query.
4. Use the answer or cancel function to finalize your answer and stop the generation process.

Additional rules:
1. Explain your thought process before and after each step and function call.
2. Do not assume or make up any entities or properties without verifying them with the knowledge graphs and functions.
3. The SPARQL query should always return the actual identifiers / IRIs of the items in its result. It additionally may return labels or other human-readable information, but they are optional and should be put within optional clauses unless explicitly requested by the user.
4. Do not stop early if there are still obvious improvements to be made to the SPARQL query. For example, keep refining your SPARQL query if its result contains irrelevant items or is missing items you expected.
5. Do not perform additional computation (e.g. filtering, sorting, calculations) on the result of the SPARQL query to determine the answer. All computation should be done solely within SPARQL.
6. For questions with a "True" or "False" answer the SPARQL query should be an ASK query.
7. Do not use 'SERVICE wikibase:label { bd:serviceParam wikibase:language ...' in SPARQL queries. It is not SPARQL standard and unsupported by the used QLever SPARQL endpoints. Use rdfs:label or similar properties to get labels instead.

[User] Who is the creator of the Dinosaurs tv show ?

[Tool]
Top 10 entity alternatives:
1. television program, also known as TV show, television broadcast, T.V. show, T. V. show, TV programme (wd:Q15416): segment of audiovisual content intended for broadcast on television
2. television series, also known as TV show, TV-series, television show, TV series (wd:Q5398426): connected set of television program episodes under the same title
3. Show TV (wd:Q2006738): Turkish television station
4. TV Show (wd:Q3281229): 2007 album by Sergey Lazarev
5. reality television, also known as reality TV program, TV reality show, TV reality program, television reality show, television reality program (wd:Q182415): genre of television programming that documents unscripted situations and actual occurrences
6. Showtime, also known as Showtime (TV network), Showtime TV, Showtime Networks, Showtime Entertainment, SHO (wd:Q23589): American premium cable TV channel
7. television presenter, also known as television anchor, TV show host, TV presenter, TV host, TV anchor (wd:Q947873): person who introduces or hosts television programs
8. variety show, also known as television variety program, television variety show, variety, variety entertainment, variety program (wd:Q336181): television genre characterized by a series of specialty acts such as music, dance, comedy, magic, acrobatics and ventriloquism
9. reality show, also known as reality television program, TV reality show, TV reality program, television reality show, television reality program (wd:Q3421644): television genre
10. television series season, also known as TV show season, TV series season, TV season, season of a TV show, television show season (wd:Q3464665): set of episodes produced for a television series

[Tool]
Top 10 entity alternatives:
1. dinosaur, also known as dino, Dinosauria, dinosaurs (wd:Q430): clade of archosaurian reptiles (Archosauria)
2. Dinosaurs (wd:Q1211977): television program
3. Dinosaurs, also known as Dinosaurs: The Most Complete, Up... for Dinosaur Lovers of All Ages (wd:Q5186590): book by Thomas R. Holtz, Jr.
4. Dinosaurs (wd:Q18351859): 1987 novelette by Walter Jon Williams
5. Dinosaurs (wd:Q28419612): anthology of science fiction short works
6. Dinosaurs! (wd:Q28401115): 1990 anthology
7. Dinosaurs (wd:Q97359951): 2018 song by Australian musician Ruby Fields
8. Dinosaurs (wd:Q120970468): 2023 Indian Tamil-language action film by M. R. Madhavan
9. Dinosaurs (wd:Q58999596): scientific article published in Nature
10. Dinosaurs (wd:Q93927541): scholarly article authored by James Willis and published in British Journal of General Practice in 2007

[Tool]
Top 10 property alternatives:
1. creator, also known as created by, visual artist, sculptor, sculpted by, realized by (wd:P170 as wdt/p): maker of this creative work or other object (where no more specific property exists)
2. has part(s), also known as has component, incorporates, has ingredient, has ingredients, has member (wd:P527 as wdt/p): part of this subject; inverse property of "part of" (P361). See also "has parts of the class" (P2670).
3. composer, also known as music by, written by, songwriter, musical score by, film score by (wd:P86 as wdt/p): person(s) who wrote the music [for lyricist, use "lyrics by" (P676)], creator
4. original language of film or TV show, also known as media language, original language, language of the original work, created on language (wd:P364 as wdt/p): language in which a film or a performance work was originally cr... works and songs; use P407 ("language of work or name") instead., language of work or name
5. producer, also known as music producer, record producer, produced by, film producer, creative producer (wd:P162 as wdt/p): person(s) who produced the film, musical work, theatrical produc...etc.) [for production company, use P272, video games - use P178]
6. instance of, also known as unitary element of class, has type, unique individual of, type, item of type (wd:P31 as wdt/p): that class of which this subject is a particular example and mem...is a subclass of mountain (and an instance of volcanic landform)
7. title, also known as name, titled, page name, original title, known as (wd:P1476 as wdt/p): published name of a work, such as a newspaper article, a literary work, piece of music, a website, or a performance work, name
8. country of origin, also known as origin country, place of origin, originates from, country, CoO (wd:P495 as wdt/p): country of origin of this item (creative work, food, phrase, product, etc.), significant place, country
9. start time, also known as start date, since, valid, join time, joined (wd:P580 as wdt/p): time an entity begins to exist or a statement starts being valid, point in time
10. genre, also known as genre of music, type of music, type of film, music genre, literary genre (wd:P136 as wdt/p): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

No other items found

[Tool]
SPARQL execution failed:
Error while executing a SERVICE request to <http://wikiba.se:80/ontology#label>: SERVICE responded with HTTP status code: 301, Moved Permanently. First 100 bytes of the response: '<html>
<head><title>301 Moved Permanently</title></head>
<body>
<center><h1>301 Moved Permanently'

[Tool]
Got 2 rows and 2 columns:
| creator                      | creatorLabel        |
| ---------------------------- | ------------------- |
| Michael Jacobs (wd:Q3308269) | Michael Jacobs (en) |
| Bob Young (wd:Q4934478)      | Bob Young (en)      |

[Assistant] Michael Jacobs and Bob Young are the creators of the Dinosaurs tv show.

[Tool] Stopped generation process